CN111062022B - Slider verification method and device based on disturbance visual feedback and electronic equipment - Google Patents
Slider verification method and device based on disturbance visual feedback and electronic equipment Download PDFInfo
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- CN111062022B CN111062022B CN201911121928.4A CN201911121928A CN111062022B CN 111062022 B CN111062022 B CN 111062022B CN 201911121928 A CN201911121928 A CN 201911121928A CN 111062022 B CN111062022 B CN 111062022B
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Abstract
The application discloses a sliding block verification method, belongs to the technical field of computers, and is beneficial to solving the problem of low accuracy of man-machine identification in the sliding block verification process. The method comprises the following steps: determining a target perturbation mode in response to performing a slider validation operation; acquiring an operation track for executing moving operation on the sliding block to carry out verification in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation; and verifying the moving operation according to the operation track and the target disturbance mode. The application discloses a slider verification method, which can improve the accuracy of human-computer identification in the slider verification process and improve the reliability of slider verification by adding a disturbance mode based on visual feedback.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a slider verification method and device based on disturbance visual feedback, electronic equipment and a computer-readable storage medium.
Background
The slider verification is a quick and effective man-machine verification means, and requires a user to move a slider of a page to a specified position to complete verification in the verification process. However, the slider verification method faces a great challenge to machine attacks, which sometimes occur. In the prior art, a commonly used method for identifying a slider by a human-computer system includes: identifying machine attacks based on frequency of requests I P, device characteristics; and performing man-machine recognition by analyzing the slide block track and the motion characteristics. The method for identifying the machine attack based on the frequency of the request I P and the characteristics of the equipment is easily broken by replacing I P and replacing the equipment, and the accuracy is low. With the common application of slider verification and the development of artificial intelligence technology, it is easy to simulate real human operation by a machine in a manner of learning a motion trajectory when a real human moves a slider, which results in a great reduction in recognition accuracy of a method for human-machine recognition based on slider trajectory characteristics and motion characteristics.
Therefore, the identification accuracy of the man-machine identification method for slider verification operation in the prior art needs to be improved.
Disclosure of Invention
The embodiment of the application provides a slider verification method which is beneficial to improving the accuracy of slider verification.
In order to solve the above problem, in a first aspect, an embodiment of the present application provides a slider verification method, including:
determining a target perturbation mode in response to performing a slider validation operation;
acquiring an operation track for executing moving operation on the sliding block to carry out verification in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation;
and verifying the moving operation according to the operation track and the target disturbance mode.
In a second aspect, an embodiment of the present application provides a slider verification apparatus, including:
a target perturbation mode determination module for determining a target perturbation mode in response to performing a slider verification operation;
the operation track acquisition module in the disturbance mode is used for acquiring an operation track which executes moving operation on the sliding block to carry out verification in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation;
and the verification module is used for verifying the moving operation according to the operation track and the target disturbance mode.
In a third aspect, an embodiment of the present application further discloses an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the slider verification method according to the embodiment of the present application when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor, and the program includes steps of the slider verification method disclosed in the present application.
According to the slider verification method disclosed by the embodiment of the application, a target disturbance mode is determined by responding to the execution of slider verification operation; acquiring an operation track for executing moving operation on the sliding block to carry out verification in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation; according to the operation track and the target disturbance mode, the moving operation is verified, the problem of low accuracy rate of man-machine identification in the slider verification process is solved, and meanwhile, the reliability of slider verification can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flowchart of a slider verification method according to a first embodiment of the present application;
FIG. 2 is a schematic view of a disturbance mode according to an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a disturbance effect according to an embodiment of the present application;
FIG. 4 is a second schematic diagram illustrating the effect of disturbance in the first embodiment of the present application;
fig. 5 is a schematic structural diagram of a slider verification device according to a second embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, a method for verifying a slider disclosed in an embodiment of the present application includes: step 110 to step 130.
In response to performing a slider verification operation, a target perturbation mode is determined, step 110.
When the method is specifically implemented, a plurality of disturbance modes are set, so that when the slider verification operation is executed, one disturbance mode is selected to disturb the real-time display position of the slider.
The target disturbance mode in the embodiment of the present application is configured to disturb the real-time display position of the slider according to the target disturbance mode, for example, add a disturbance amount to the real-time display position of the slider according to the target disturbance mode. In some embodiments of the present application, perturbing the real-time display position of the slider according to the target perturbation mode includes: and according to the target disturbance mode, calculating the disturbance quantity of the real-time display position of the sliding block corresponding to the real-time operation position according to the real-time operation position of the mobile operation, so that the real-time display position of the sliding block calculated based on the disturbance quantity is asynchronous with the real-time operation position of the mobile operation.
In some embodiments of the present application, the number of perturbation modes includes: a local random perturbation pattern and at least one global perturbation pattern.
Wherein the local random perturbation pattern is to: randomly selecting a plurality of operation positions in the process of executing moving operation on the sliding block, and randomly determining a local disturbance mode corresponding to each operation position to generate a disturbance quantity calculation function; and calculating the disturbance quantity of the real-time display position of the sliding block corresponding to the real-time operation position through the disturbance quantity calculation function according to the real-time operation position of the moving operation. Namely, the local random disturbance mode is used for randomly adding a randomly generated local disturbance mode to a plurality of operation positions of the moving operation in the slider verification process.
For example, when the user performs a slider verification operation by touching a slider displayed on the screen of the electronic device, the operation position of the movement operation of the user moving the slider (i.e., the position where the finger touches the screen of the electronic device) needs to be changed from the position (X)start,Ystart) Move to position (X)end,Yend) Then the local random perturbation pattern will be randomly selected (X)start,Ystart) And (X)end,Yend) A preset number of operating positions in between adds perturbations. In some embodiments of the present application, the disturbance may be added through the randomly selected operation positions of the preset number, and a disturbance amount calculation function may be constructed according to the randomly selected operation positions to which the disturbance is added. The electronic equipment acquires the user finger along with the movement of the user finger on the screen of the electronic equipmentAnd moving the real-time operation position of the operation (namely the moving position of the finger of the user), and then calculating the disturbance quantity corresponding to the acquired real-time operation position through the disturbance quantity calculation function. The disturbance amount is the disturbance amount of the real-time display position of the sliding block, and the real-time display position of the sliding block is calculated through the disturbance amount and the real-time operation position, so that the calculated real-time display position of the sliding block is asynchronous with the real-time operation position, and disturbance is generated on the moving operation of the user.
In some embodiments of the present application, when the disturbance amount calculation function is generated, for each real-time operation position, a local disturbance mode may also be randomly generated by randomly selecting a disturbance coefficient. For example, taking the case of perturbing only the abscissa of the real-time display position of the slider, the local random perturbation mode may be represented as d ═ f (x), where x is the abscissa of the real-time operation position, f (x) is the perturbation amount calculation function, and d is the calculated perturbation amount. Further, in the above-mentioned case,
wherein m is the number of randomly selected operations as positions; f. ofi(x) The local perturbation pattern for the ith operating position can be expressed as: f. ofi(x)＝aix3+bix2+cix+diWherein, a isi、bi、ciAnd diIs the coefficient of perturbation. Then, for each operating position, the corresponding ai、bi、ciAnd diA random value can be taken within a preset range, namely the disturbance coefficient of each local disturbance mode can be randomly selected, so that the randomness of disturbance addition is further improved, and the difficulty of breaking through slider verification is further improved. In some embodiments of the present application, ai、bi、ciAnd diCan take [10,10 ] respectively]Any real number in between. In specific implementation, the value range of the disturbance coefficient is determined according to a test result.
In this way, for each real-time operation position x in the process of performing the moving operation on the slider, a disturbance amount d can be calculated through a local random disturbance mode d ═ f (x), and further, a real-time slider display position can be calculated according to the real-time operation position x and the corresponding disturbance amount d. Since the real-time slider display position includes the disturbance amount, the real-time slider display position is not synchronized with the real-time operation position of the moving operation.
In some embodiments of the present application, in order to smoothly add the disturbance and further improve the user experience, the disturbance amount calculation function f (x) may be multiplied by a gaussian window function to smooth the disturbance. For example, the disturbance quantity calculation function can be expressed as
Wherein, G (x)jAnd e) is a Gaussian window function,
wherein x isjFor a randomly selected jth operating position to which the perturbation is added, x is the real-time operating position. The visual effect brought by disturbance can be smoothed by multiplying the disturbance quantity calculation function f (x) by a Gaussian window function, determining an area by taking the randomly selected operation position as the center, and adding disturbance to the real-time display position of the slide block corresponding to the real-time operation position in the area.
The global perturbation pattern is used to: and calculating the real-time operation position of the moving operation executed by the slide block through a disturbance quantity calculation function matched with the global disturbance mode to obtain the disturbance quantity of the real-time display position of the slide block corresponding to the real-time operation position. I.e., the global perturbation pattern, is used to add a selected global perturbation pattern to each operational position of the move operation during slider verification.
Still taking the example of perturbing only the abscissa of the real-time display position of the slider, the selected global perturbation mode may be represented as d ═ f (x), where x is the abscissa of the real-time operation position, f (x) is the perturbation amount calculation function, and d is the calculated perturbation amount. Where f (x) can be expressed as: (x) ax3+bx2+ cx + d is, where a, b, c, and d are perturbation coefficients. For a selected global perturbation mode, its perturbationThe motion coefficients are determined.
In this way, for each real-time operation position x in the process of performing the moving operation on the slider, a disturbance amount d can be calculated through a global disturbance mode d ═ f (x), and further, a real-time slider display position can be calculated according to the real-time operation position x and the corresponding disturbance amount d. Since the real-time slider display position includes the disturbance amount, the real-time slider display position is not synchronized with the real-time operation position of the moving operation.
In some embodiments of the present application, said determining a target perturbation pattern in response to performing a slider validation operation comprises: randomly selecting one of a number of perturbation modes as the target perturbation mode in response to performing a slider verification operation. After a plurality of disturbance modes are preset, one disturbance mode is randomly selected from the plurality of disturbance modes when the slider is verified each time, and the real-time display position of the slider is disturbed in the slider verification process, so that the difficulty of breaking the slider in the slider verification process is further increased, and the safety of the slider verification is improved.
And 120, acquiring an operation track for performing a moving operation on the slider in the target disturbance mode to verify.
Wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the moving operation. In some embodiments of the present application, the real-time display position of the slider being out of synchronization with the real-time operation position of the moving operation comprises: the real-time display position of the slide block is ahead or behind the real-time operation position of the moving operation along the preset slide block moving direction. In other embodiments of the present application, the real-time display position of the slider being out of synchronization with the real-time operation position of the moving operation includes: the real-time display position of the slider deviates from the real-time operation position of the moving operation along a direction different from the preset slider moving direction. In still other embodiments of the present application, the real-time display position of the slider being out of synchronization with the real-time operation position of the moving operation comprises: the real-time display position of the slide block is advanced or lagged from the real-time operation position of the moving operation along the preset slide block moving direction, and the real-time display position of the slide block deviates from the real-time operation position of the moving operation along the direction different from the preset slide block moving direction.
In some embodiments of the present application, obtaining an operation trajectory for performing a moving operation on a slider in the target disturbance mode for verification includes: a real-time operation position obtaining sub-step for obtaining a real-time operation position for performing a moving operation on the slider; a real-time display position determining substep of the sliding block, which is used for determining the real-time display position of the sliding block after being disturbed according to the real-time operation position of the moving operation and the target disturbance mode; a slider display substep for displaying the slider at the slider real-time display position; a position updating sub-step, which is used for acquiring a real-time operation position for executing the moving operation on the sliding block and jumping to the sliding block real-time display position determining sub-step until the moving operation is finished; and an operation track determining sub-step, which is used for determining the operation track of the moving operation according to the real-time operation position of the moving operation which is acquired in sequence.
The disturbance mode in the embodiment of the application includes adding a disturbance amount to the real-time display position of the slider, so that the real-time display position of the slider is asynchronous with the real-time operation position of the movable slider, and the movable operation executed on the slider by a user is influenced based on visual feedback. And determining the disturbance effect of the disturbance mode on the real-time display position of the slide block according to the selected disturbance mode.
Firstly, after the slider verification operation is started, the real-time operation position of the slider for executing the movement operation is obtained by detecting the movement operation of the mouse on the slider, namely the real-time position of the mouse is obtained.
And then, based on the acquired real-time operation position, adding disturbance to the real-time display position of the sliding block corresponding to the real-time operation position. For example, a user moves a slider along a horizontal direction through a mouse to perform slider verification (namely, the movement direction of the slider is preset to be the horizontal direction), the horizontal direction is defined as an X axis, a direction perpendicular to the X axis in a slider movement plane is defined as a Y axis, a plane rectangular coordinate system is established by taking the initial movement position of the slider as a coordinate origin, and then the obtained real coordinate system is obtainedThe operation position may be through mouse _ cur (x)mouse,ymouse) Indicating that the real-time display position of the slider can pass through slider _ cur (x)slider,yslider) And (4) showing. During specific implementation, when the disturbance is added to the real-time display position of the sliding block corresponding to the real-time operation position, the disturbance can be added only to the abscissa (namely, the coordinate with the horizontal direction in the preset sliding block moving direction) of the real-time display position of the sliding block, or only to the ordinate (namely, the coordinate different from the preset sliding block moving direction) of the real-time display position of the sliding block, or to both the abscissa and the ordinate of the real-time display position of the sliding block. In this embodiment, for the convenience of the reader to understand the technical scheme, a process of executing the slider verification operation in the target perturbation mode and a technical scheme of obtaining an operation trajectory of the movement operation are described by taking only adding perturbation to the abscissa of the real-time display position of the slider as an example.
And introducing a disturbance amount determined according to the target disturbance mode when calculating the real-time display position of the slider, namely adding disturbance to the real-time display position of the slider. In some embodiments of the present application, the determining, according to the real-time operation position of the moving operation and the target disturbance mode, a real-time display position of the disturbed slider includes: based on the coordinates corresponding to the real-time operation position of the mobile operation, the disturbance amount corresponding to the real-time operation position is obtained through the preset calculation of the target disturbance mode; and determining the coordinates corresponding to the real-time display position of the sliding block according to the coordinates and the disturbance amount. In some embodiments of the present application, the coordinates are coordinates on a coordinate axis that matches a slider movement direction set by the slider verification operation. In the embodiment, a user moves a slider along the horizontal direction through a mouse to execute slider verification operation, and the coordinate is an abscissa, namely an X coordinate; the vertical coordinate of the real-time display position of the sliding block can be set to be a fixed value according to display requirements. For example, if the ordinate of the real-time display position of the slider is set to a fixed value of 0, the slider will move while remaining on the set horizontal line (i.e., X-axis).
Expressed as a target disturbance modeFor example, the real-time operation position mouse _ cur (x) of the mouse is obtainedmouse,ymouse) Abscissa x ofmouseAnd calculating the disturbance quantity d corresponding to the real-time operation position as the input of the target disturbance mode f (x). Then, the calculated disturbance amount may be added to the real-time operation position mouse _ cur (x)mouse,ymouse) Abscissa x ofmouseThe above. For example, the real-time operation position mouse _ cur (x)mouse,ymouse)xmouseThe sum of the disturbance d is used as the slider real-time display position slider _ cur (x) corresponding to the real-time operation positionslider,yslider) Abscissa x ofslider. Because the real-time display position of the slider is fixed, the real-time display position slider _ cur of the slider can be determined.
After the real-time slider display position is determined, the slider is displayed at the determined real-time slider display position. Since the target disturbance mode adds disturbance to the real-time display position of the slider, the display position of the slider and the moving operation position of the mouse are not synchronized as viewed by a user. Taking the perturbation mode shown in fig. 2 as an example, when the abscissa of the real-time operation position of the mouse is X1 in the process that the mouse moves the slider in the positive direction of the X axis, the target perturbation mode shown in fig. 2 will add a perturbation amount d1 to the real-time display position of the slider, so that the display position of the slider is in front of the operation position of the mouse, and the display effect is shown in fig. 3. Based on the visual feedback of the position of the slider shown in fig. 3, the user can adjust the movement track of the mouse, for example, the speed of the mouse moving the slider is slowed down or the slider is moved backwards and downwards, so that the operation track of the mouse is changed randomly. When the abscissa of the real-time operation position of the mouse is X2, the target disturbance mode shown in fig. 2 will add a disturbance amount d2 to the real-time display position of the slider, so that the display position of the slider is behind the operation position of the mouse, and the display effect is shown in fig. 4. The user still adjusts the movement track of the mouse based on the visual feedback of the position of the slider shown in fig. 4, so that the operation track of the mouse is randomly changed.
Based on the visual feedback principle, the user can adjust the operation position of the mouse moving slider. In the process that the user repeatedly adjusts the real-time operation position of the mouse moving slide block, the operation track of the dynamic change of the user can be acquired by continuously acquiring the real-time operation position of the mouse.
The process of adding disturbance to the slider verification process is a cyclic reciprocating process of acquiring a real-time operation position of a mouse, then adding disturbance to a real-time display position of the slider corresponding to the real-time operation position according to the real-time operation position, and then adjusting the real-time operation position of the mouse after performing visual feedback on the real-time display position of the slider and the real-time operation position of the mouse asynchronously based on a user until the user finishes the operation of moving the slider through the mouse, namely, finishing the slider verification.
After the moving operation performed on the slider is finished, a coordinate sequence formed by the real-time operation positions of the sequentially acquired moving operation (such as the real-time operation positions of the sequentially acquired mouse) is used as the operation track of the moving operation.
In other embodiments of the present application, the coordinates are coordinates on a coordinate axis perpendicular to a slider moving direction set by the slider verifying operation. A user moves a slider along the horizontal direction through a mouse to execute slider verification operation, and the coordinate is a vertical coordinate, namely a Y coordinate; the abscissa of the real-time display position of the slider may be the same as the abscissa of the real-time operation position of the moving slider.
And step 130, verifying the moving operation according to the operation track and the target disturbance mode.
Wherein, the target man-machine recognition model is as follows: and training the obtained human-computer recognition model based on the operation track of the sliding block to perform the moving operation when the sliding block verification operation is performed in the target disturbance mode.
After the operation track of the user executing the slider verification operation once is acquired, the acquired operation track can be input into a pre-trained human-computer recognition model, and the operation track is subjected to human-computer recognition through the target human-computer recognition model.
Since the disturbance is added in the process of executing the slider verification, as described above, the operation trajectory obtained under the condition of adding the disturbance carries the relevant features of the disturbance mode, so that when the operation trajectory is identified by the pre-trained human-computer identification model, the operation trajectory and the disturbance mode added in the operation trajectory acquisition process need to be input simultaneously. And the selected human recognition model should also be one that matches the added perturbation pattern. For example, for an operation trajectory obtained in the slider verification process under the local random disturbance mode added, it is necessary to input the operation trajectory to a human-machine recognition model trained on a training sample obtained under the condition of the slider verification operation under the local random disturbance mode added. And for the operation track obtained in the process of slider verification by adding the global disturbance mode 1, the operation track needs to be input to a human-computer recognition model trained on training samples obtained under the condition of slider verification operation by adding the global disturbance mode 1.
In some embodiments of the application, the verifying the moving operation according to the operation trajectory and the target perturbation pattern includes: and identifying the operation track through a pre-trained target man-machine identification model, and carrying out man-machine verification on the slider verification operation. Further, identifying the operation track through a pre-trained target human-computer recognition model, and performing human-computer verification on the slider verification operation, including: determining preset track characteristics of each real-time operation position in the operation track; according to the disturbance amount corresponding to each real-time operation position in the operation track, fusion processing is carried out on preset track characteristics of the corresponding real-time operation position, and characteristics to be identified of each real-time operation position are obtained; and inputting a characteristic sequence formed by the characteristics to be recognized of each real-time operation position in the operation track into a pre-trained target man-machine recognition model, and carrying out man-machine verification on the slider verification operation.
The preset track characteristics in the embodiment of the application can be general characteristics of human-computer recognition in the prior art such as motion speed, motion direction and acceleration. For example, for operationA predetermined trajectory characteristic of a certain operation position i on the trajectory may be represented as f (i) ═ xi,yi,detaxi,detayi) Wherein x isi,yiFor each of said real-time operating positions, detax, for performing a moving operation on the slideri＝xi-xi-1，detayi＝yi-yi-1And representing the moving direction and the moving speed of the real-time operation position i. Then, when the operation track is collected, the disturbance quantity d of the real-time display position of the sliding block corresponding to the real-time operation position iiAnd fusing with the preset track characteristic f (i) of the real-time operation position i to obtain the characteristic to be identified of the real-time operation position i. For example, by the formula f' (i) ═ f (i) × diAnd + f (i) × 0.1, fusing the preset track characteristics and the disturbance quantity of the real-time operation position i to obtain the characteristics f' (i) to be identified of the real-time operation position i. According to the method, the characteristic to be identified of each operation position on the operation track of the slider for executing the moving operation can be obtained when the slider verification operation is executed. And finally, taking a characteristic sequence formed by the characteristics to be identified of all the operation positions acquired on the operation track as the characteristics of the operation track.
And inputting the determined characteristics of the operation track into the selected target human-machine recognition model, and outputting a human-machine recognition result of the operation track. According to the slider verification method disclosed by the embodiment of the application, the disturbance mode characteristic is introduced into the operation track, so that the characteristic is richer, and the disturbance mode characteristic has randomness, so that the human-computer identification accuracy can be improved.
In some embodiments of the present application, the human-machine recognition model may be a two-classifier model, and the human-machine recognition model outputs probabilities that the operation trajectory corresponds to different categories (i.e., a real human operation trajectory or a machine-simulated operation trajectory) according to the characteristics of the input operation trajectory. In the specific implementation of the present application, each disturbance mode corresponds to a human-computer recognition model, and the following example illustrates a training method of the human-computer recognition model.
1. And training a human-machine recognition model corresponding to the global disturbance mode.
In some embodiments of the present application, before determining the target perturbation mode in response to performing the slider verification operation, the method further includes: determining a plurality of candidate global disturbance modes; for each candidate global disturbance mode, training a human-machine recognition model corresponding to the candidate global disturbance mode based on a positive sample and a negative sample obtained in the candidate global disturbance mode; the positive sample is an operation track for executing moving operation on the sliding block when a real person executes sliding block verification operation, and the negative sample is an operation track generated by machine attack behavior; for each candidate global disturbance mode, determining the human-computer identification accuracy of a human-computer identification model corresponding to the candidate global disturbance mode based on an operation track obtained when a real person performs a slider verification operation and an operation track generated by a machine attack behavior on the slider in the candidate global disturbance mode; and selecting the candidate global disturbance mode with the human-computer recognition accuracy meeting the preset condition as the global disturbance mode.
In order to obtain an accurate human-computer recognition result, in some embodiments of the present application, a plurality of candidate global perturbation modes are preliminarily determined, and training samples are respectively collected for each candidate global perturbation mode to train a corresponding human-computer recognition model. And finally, selecting a plurality of human-computer recognition models with the highest recognition accuracy as human-computer recognition models for online use according to the recognition accuracy of each human-computer recognition model obtained through training, and meanwhile, determining a candidate global disturbance mode corresponding to each human-computer recognition model as an online optional global disturbance mode.
Consists of a function based on a 3 rd order polynomial: y is ax3+bx2For example, the global perturbation mode is constructed by + cx + d, L groups of coefficients of the polynomial may be predetermined, and a candidate global perturbation mode is generated according to each group of coefficients. Then, training and verification of the man-machine recognition model are respectively carried out based on each candidate global disturbance mode. Through executing the verification of the man-machine identification model, the identification accuracy of each man-machine identification model is obtained, and finally, the K (L) with the highest identification accuracy can be selected>K) The personal identification model is applied to online human-computer identification. Wherein K may be specifiedAnd determining the verification requirement.
When training and verifying a human-computer recognition model aiming at a certain candidate global disturbance mode, firstly, the candidate global disturbance mode is added in the slider verification process, and a plurality of operation tracks are collected. And then, generating a positive sample according to the operation track of the real person, generating a negative sample according to the operation acquired in the machine attack slider verification process, and selecting one part of the positive sample and the negative sample as training samples and the other part of the positive sample and the negative sample as test samples. And then training the classifiers corresponding to the candidate global disturbance modes based on the training samples to obtain the human-machine recognition models corresponding to the candidate global disturbance modes. And finally, testing the identification accuracy of the human-machine identification model corresponding to the candidate global disturbance mode based on the test sample. The performance of the global disturbance mode and the corresponding human-computer recognition model is reflected by the recognition accuracy.
2. And training a human-computer recognition model corresponding to the local random disturbance mode.
In other embodiments of the present application, before determining the target perturbation mode in response to performing the slider verification operation, the method further includes: training a human-computer recognition model corresponding to a local random disturbance mode based on a positive sample and a negative sample acquired in the local random disturbance mode; the positive sample is an operation track for executing moving operation on the sliding block when the sliding block verification operation is executed by a real person, and the negative sample is an operation track generated by machine attack behavior.
In each sliding block verification execution process of a real person, randomly generating a local random disturbance mode (namely randomly selecting a plurality of operation positions added with disturbance, randomly determining disturbance coefficients corresponding to the operation positions, and generating a disturbance quantity calculation function according to the selected operation positions added with the disturbance and the corresponding disturbance coefficients); and finally, generating a positive sample according to the collected operation track. Similarly, in the process of executing the slider verification by the machine each time, a local random disturbance mode is randomly generated (namely, a plurality of operation positions added with disturbance are randomly selected, disturbance coefficients corresponding to the operation positions are randomly determined, and a disturbance quantity calculation function is generated according to the selected operation positions added with the disturbance and the corresponding disturbance coefficients); and finally, generating a negative sample according to the collected operation track. And then training the classifiers corresponding to the local random disturbance modes based on the training samples to obtain the human-computer recognition models corresponding to the local random disturbance modes.
When the training sample and the test sample are obtained, the specific embodiment of acquiring the operation trajectory refers to obtaining the operation trajectory for performing the moving operation on the slider in the target disturbance mode to perform the verification, and details are not repeated here.
In other embodiments of the present application, the verifying the moving operation according to the operation trajectory and the target perturbation pattern includes: and verifying the moving operation according to the matching result of the operation track, the target disturbance mode and a preset slider moving track. Further, according to the matching result between the operation track and the target disturbance mode and a preset slider movement track, verifying the movement operation includes: determining preset track characteristics of each real-time operation position in the operation track; according to the disturbance amount corresponding to each real-time operation position in the operation track, fusion processing is carried out on preset track characteristics of the corresponding real-time operation position, and characteristics to be identified of each real-time operation position are obtained; and performing feature matching on a feature sequence formed by the features to be identified of each real-time operation position in the operation track and the features of a preset slider movement track, and verifying the movement operation according to a feature matching result. For example, when the feature sequence formed by the features to be identified of each real-time operation position in the operation track is successfully matched with the features of a preset slider moving track, it is determined that the moving operation performed on the slider is successful; otherwise, determining that the moving operation performed on the slider fails.
The specific implementation manner of the step of determining the preset track feature of each real-time operation position in the operation track, the step of performing fusion processing on the preset track feature of the corresponding real-time operation position according to the disturbance amount corresponding to each real-time operation position in the operation track to obtain the feature to be identified of each real-time operation position, and the step of performing fusion processing on the preset track feature of the corresponding real-time operation position according to the disturbance amount corresponding to each real-time operation position in the operation track to obtain the feature to be identified of each real-time operation position is referred to the foregoing description, and is not repeated here. When feature matching is performed on the feature sequence formed by the features to be identified of each real-time operation position in the operation track and the features of the preset sliding block moving track, a method of calculating the euclidean distance between the two types of features can be adopted.
In still other embodiments of the present application, after the human-computer verification of the moving operation is passed according to the operation trajectory and the target disturbance mode, the moving operation may be verified further according to a matching result of the operation trajectory, the target disturbance mode, and a preset slider moving trajectory.
It should be understood by those skilled in the art that the 3 rd order polynomial for constructing the global perturbation pattern and the local random perturbation pattern in the embodiment of the present application is only an example for implementing the present application, and should not be taken as a limitation to the scope of the present application. In other embodiments of the present application, a global perturbation mode or a local random perturbation mode may also be constructed by using other functions, or different functions may also be used for different global perturbation modes when constructing a global perturbation mode, which is not illustrated in this embodiment.
It will also be understood by those skilled in the art that the perturbation to the real-time display position of the slider as exemplified in the embodiments of the present application is based on a certain perturbation pattern, and that the perturbation to the real-time display position of the slider varies from one perturbation pattern to another. For example, when the ordinate of the real-time display position of the slider is disturbed, the display effect of the real-time display position of the slider will be shown as an up-and-down jumping display at the mouse position.
In other embodiments of the present application, the perturbation effect is a 3 rd order polynomial used to construct the global perturbation pattern and the local random perturbation pattern, which is only an example for implementing the present application and should not be taken as a limitation to the scope of the present application. In other embodiments of the present application, a global perturbation mode or a local random perturbation mode may also be constructed by using other functions, or different functions may also be used for different global perturbation modes when constructing a global perturbation mode, which is not illustrated in this embodiment.
According to the slider verification method disclosed by the embodiment of the application, a target disturbance mode is determined by responding to the execution of slider verification operation; acquiring an operation track for executing a moving operation on the sliding block to verify in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation; according to the operation track and the target disturbance mode, the moving operation is verified, the problem of low accuracy rate of man-machine identification in the slider verification process is solved, and meanwhile, the reliability of slider verification can be improved.
Visual feedback to human operation is the instinctive reaction of human beings, and for the disturbance of a specific mode, the human operation obtains the corresponding operation reaction in a statistical sense. According to the slider verification method disclosed by the embodiment of the application, due to the adoption of a visual feedback mechanism of disturbance, the visual feedback of a person is stimulated by introducing the disturbance to the display position of the slider, so that the slider verification is carried out by a real person, the operation track has the characteristic of visual feedback, and the accuracy of man-machine identification is further improved. And because the machine script does not have a feedback link for visual feedback to manual operation, even if the manual operation is simulated aiming at a certain specific disturbance mode, the operation track acquired in the verification process is greatly different from the real manual operation, so that the human-machine judgment is easy, and the attack difficulty is greatly improved.
Furthermore, due to the randomness and the diversity of the disturbance position and the disturbance mode, the machine script cannot lock a specific mode to simulate manual operation, so that the difficulty of the machine attacking the slider verification process is further enhanced, and the accuracy of human-machine identification is improved.
Example two
As shown in fig. 5, the slider verification apparatus disclosed in the embodiment of the present application includes:
a target perturbation mode determination module 510 for determining a target perturbation mode in response to performing a slider verification operation;
an operation trajectory acquisition module 520 in the disturbance mode, configured to acquire an operation trajectory for performing a moving operation on the slider in the target disturbance mode to perform verification; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation;
a verification module 530, configured to verify the moving operation according to the operation trajectory and the target perturbation mode.
In some embodiments of the present application, the real-time display position of the slider is not synchronized with the real-time operation position of the moving operation, including:
the real-time display position of the slide block is ahead or behind the real-time operation position of the moving operation along the preset slide block moving direction; alternatively, the first and second electrodes may be,
the real-time display position of the slider deviates from the real-time operation position of the moving operation along a direction different from the preset slider moving direction.
In some embodiments of the present application, the operation trajectory obtaining module 520 in the perturbation mode further includes:
the real-time operation position acquisition submodule is used for acquiring a real-time operation position for executing moving operation on the sliding block;
the real-time display position determining submodule of the sliding block is used for determining the real-time display position of the sliding block after being disturbed according to the real-time operation position of the moving operation and the target disturbance mode;
the sliding block display submodule is used for displaying the sliding block at the position where the sliding block is displayed in real time;
the position updating submodule is used for acquiring a real-time operation position for executing the moving operation on the sliding block and jumping to the sliding block real-time display position determining submodule until the moving operation is finished;
and the operation track determining submodule is used for determining the operation track of the moving operation according to the real-time operation position of the moving operation acquired in sequence.
In some embodiments of the present application, the step of determining a real-time display position of the disturbed slider according to the real-time operation position of the moving operation and the target disturbance mode includes:
based on the coordinates corresponding to the real-time operation position of the mobile operation, the disturbance amount corresponding to the real-time operation position is obtained through the preset calculation of the target disturbance mode;
and determining the coordinates corresponding to the real-time display position of the sliding block according to the coordinates and the disturbance amount. In some embodiments of the present application, the coordinates are coordinates on a coordinate axis matched with a slider moving direction set by the slider verification operation; in other embodiments of the present application, the coordinates are coordinates on a coordinate axis perpendicular to a slider moving direction set by the slider verification operation.
In some embodiments of the application, the verification module 530 is further configured to: identifying the operation track through a pre-trained target man-machine identification model, and carrying out man-machine verification on the slider verification operation;
in some embodiments of the present application, the identifying the operation trajectory through a pre-trained target human-machine recognition model, and performing human-machine verification on the slider verification operation includes:
determining preset track characteristics of each real-time operation position in the operation track;
according to the disturbance amount corresponding to each real-time operation position in the operation track, fusion processing is carried out on preset track characteristics of the corresponding real-time operation position, and characteristics to be identified of each real-time operation position are obtained;
and inputting a characteristic sequence formed by the characteristics to be recognized of each real-time operation position in the operation track into a pre-trained target man-machine recognition model, and carrying out man-machine verification on the slider verification operation.
In some embodiments of the present application, the target perturbation pattern determination module 510 is further configured to:
randomly selecting one of a number of perturbation modes as the target perturbation mode in response to performing a slider verification operation.
In some embodiments of the present application, the number of perturbation modes includes: a local random perturbation pattern and at least one global perturbation pattern, wherein,
the local random perturbation pattern is used for: randomly selecting a plurality of operation positions in the process of executing moving operation on the sliding block, and randomly determining a local disturbance mode corresponding to each operation position to generate a disturbance quantity calculation function; calculating the disturbance quantity of the real-time display position of the sliding block corresponding to the real-time operation position through the disturbance quantity calculation function according to the real-time operation position of the moving operation;
the global perturbation pattern is used to: and calculating the real-time operation position of the moving operation executed by the sliding block through a disturbance quantity calculation function matched with the global disturbance mode to obtain the disturbance quantity of the real-time display position of the sliding block corresponding to the real-time operation position.
In some embodiments of the present application, the apparatus further comprises: a global perturbation pattern determination module (not shown in the figures) further configured to:
determining a plurality of candidate global disturbance modes;
for each candidate global disturbance mode, training a human-computer recognition model corresponding to the candidate global disturbance mode based on a positive sample and a negative sample obtained in the candidate global disturbance mode; the positive sample is an operation track for executing moving operation on the sliding block when the sliding block verification operation is executed by a real person, and the negative sample is an operation track generated by machine attack behavior;
for each candidate global disturbance mode, determining the human-computer identification accuracy of a human-computer identification model corresponding to the candidate global disturbance mode based on an operation track obtained when a real person performs a slider verification operation and an operation track generated by a machine attack behavior on the slider in the candidate global disturbance mode;
and selecting the candidate global disturbance mode with the human-computer recognition accuracy meeting the preset condition as the global disturbance mode.
In some embodiments of the present application, the apparatus further comprises: a human-machine recognition model training module (not shown), the human-machine recognition model training module further configured to:
training a human-computer recognition model corresponding to a local random disturbance mode based on a positive sample and a negative sample acquired in the local random disturbance mode; the positive sample is an operation track for executing moving operation on the sliding block when the sliding block verification operation is executed by a real person, and the negative sample is an operation track generated by machine attack behavior.
The slider verification device disclosed in the embodiment of the present application is used to implement the slider verification method described in the first embodiment of the present application, and specific implementation manners of each module of the device are not described again, and reference may be made to specific implementation manners of corresponding steps in method embodiments.
The slider verification device disclosed in the embodiment of the application determines a target disturbance mode by responding to execution of slider verification operation; acquiring an operation track for executing a moving operation on the sliding block to verify in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation; according to the operation track and the target disturbance mode, the moving operation is verified, the problem of low accuracy rate of man-machine identification in the slider verification process is solved, and meanwhile, the reliability of slider verification can be improved.
Visual feedback to human operation is the instinctive reaction of human beings, and for the disturbance of a specific mode, the human operation obtains the corresponding operation reaction in a statistical sense. The slider verification device disclosed by the embodiment of the application adopts a visual feedback mechanism of disturbance, and stimulates the visual feedback of people by introducing the disturbance to the display position of the slider, so that a real person carries out slider verification to ensure that the operation track has the characteristic of visual feedback, and the accuracy of man-machine identification is further improved. And because the machine script does not have a feedback link for visual feedback to manual operation, even if the manual operation is simulated aiming at a certain specific disturbance mode, the operation track acquired in the verification process is greatly different from the real manual operation, so that the human-machine judgment is easy, and the attack difficulty is greatly improved.
Furthermore, due to the randomness and the diversity of the disturbance position and the disturbance mode, the machine script cannot lock a specific mode to simulate manual operation, so that the difficulty of the machine attacking the slider verification process is further enhanced, and the accuracy of human-machine identification is improved.
Correspondingly, the application also discloses an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the slider verification method according to the first embodiment of the application. The electronic device can be a PC, a mobile terminal, a personal digital assistant, a tablet computer and the like.
The application also discloses a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the slider verification method according to the first embodiment of the application.
The embodiments in the present specification are all described in a progressive manner, and each embodiment focuses on differences from other embodiments, and portions that are the same and similar between the embodiments may be referred to each other. For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The method and the device for slider verification provided by the present application are introduced in detail, and a specific example is applied in the description to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understanding the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Claims (13)
1. A slider validation method, comprising:
determining a target perturbation mode in response to performing a slider validation operation;
acquiring an operation track for executing moving operation on the sliding block to carry out verification in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation;
verifying the moving operation according to the operation track and the target disturbance mode;
acquiring an operation track for executing a moving operation on the slider to verify in the target disturbance mode, wherein the operation track comprises: sequentially acquiring real-time operation positions adjusted after the user performs visual feedback on the asynchronization until the user finishes the operation of moving the sliding block; and taking a coordinate sequence formed by the real-time operation positions of the moving operation which are sequentially acquired as the operation track of the moving operation.
2. The method of claim 1, wherein the real-time display position of the slider is not synchronized with the real-time operational position of the movement operation, comprising:
the real-time display position of the slide block is ahead or behind the real-time operation position of the moving operation along the preset slide block moving direction; alternatively, the first and second electrodes may be,
the real-time display position of the slider deviates from the real-time operation position of the moving operation along a direction different from the preset slider moving direction.
3. The method according to claim 2, wherein the step of obtaining the operation track for performing the moving operation on the slider for verification in the target disturbance mode comprises:
a real-time operation position obtaining sub-step for obtaining a real-time operation position for performing a moving operation on the slider;
a real-time display position determining substep of the sliding block, which is used for determining the real-time display position of the sliding block after being disturbed according to the real-time operation position of the moving operation and the target disturbance mode;
a slider display substep for displaying the slider at the slider real-time display position;
a position updating sub-step, which is used for acquiring a real-time operation position for executing the moving operation on the sliding block and jumping to the sliding block real-time display position determining sub-step until the moving operation is finished;
and an operation track determining sub-step, which is used for determining the operation track of the moving operation according to the real-time operation position of the moving operation which is acquired in sequence.
4. The method according to claim 3, wherein the step of determining the real-time display position of the slider after being disturbed according to the real-time operation position of the moving operation and the target disturbance mode comprises:
based on the coordinates corresponding to the real-time operation position of the mobile operation, the disturbance amount corresponding to the real-time operation position is obtained through the preset calculation of the target disturbance mode;
and determining the coordinates corresponding to the real-time display position of the sliding block according to the coordinates and the disturbance amount.
5. The method of claim 4, wherein the step of verifying the movement operation based on the operation trajectory and the target perturbation pattern comprises:
identifying the operation track through a pre-trained target man-machine identification model, and carrying out man-machine verification on the slider verification operation; the operation track is identified through a pre-trained target man-machine identification model, man-machine verification is carried out on the slider verification operation, and the method comprises the following steps:
determining preset track characteristics of each real-time operation position in the operation track;
according to the disturbance amount corresponding to each real-time operation position in the operation track, fusion processing is carried out on preset track characteristics of the corresponding real-time operation position, and characteristics to be identified of each real-time operation position are obtained;
and inputting a characteristic sequence formed by the characteristics to be recognized of each real-time operation position in the operation track into a pre-trained target man-machine recognition model, and carrying out man-machine verification on the slider verification operation.
6. The method of any of claims 1 to 5, wherein the step of determining a target perturbation pattern in response to performing a slider validation operation comprises:
randomly selecting one of a number of perturbation modes as the target perturbation mode in response to performing a slider verification operation.
7. The method of claim 6, wherein the number of perturbation modes comprises: a local random perturbation pattern and at least one global perturbation pattern, wherein,
the local random perturbation pattern is used for: randomly selecting a plurality of operation positions in the process of executing moving operation on the sliding block, and randomly determining a local disturbance mode corresponding to each operation position to generate a disturbance quantity calculation function; calculating the disturbance quantity of the real-time display position of the sliding block corresponding to the real-time operation position through the disturbance quantity calculation function according to the real-time operation position of the moving operation;
the global perturbation pattern is used to: and calculating the real-time operation position of the moving operation executed by the slide block through a disturbance quantity calculation function matched with the global disturbance mode to obtain the disturbance quantity of the real-time display position of the slide block corresponding to the real-time operation position.
8. The method of claim 7, wherein the step of determining a target perturbation pattern in response to performing a slider validation operation is preceded by the step of:
determining a plurality of candidate global disturbance modes;
for each candidate global disturbance mode, training a human-machine recognition model corresponding to the candidate global disturbance mode based on a positive sample and a negative sample obtained in the candidate global disturbance mode; the positive sample is an operation track for executing moving operation on the sliding block when a real person executes sliding block verification operation, and the negative sample is an operation track generated by machine attack behavior;
for each candidate global disturbance mode, determining the human-computer identification accuracy of a human-computer identification model corresponding to the candidate global disturbance mode based on an operation track obtained when a real person performs a slider verification operation and an operation track generated by a machine attack behavior on the slider in the candidate global disturbance mode;
and selecting the candidate global disturbance mode with the human-computer recognition accuracy meeting the preset condition as the global disturbance mode.
9. The method of claim 7, wherein the step of determining a target perturbation pattern in response to performing a slider validation operation is preceded by the step of:
training a human-computer recognition model corresponding to a local random disturbance mode based on a positive sample and a negative sample acquired in the local random disturbance mode; the positive sample is an operation track for executing moving operation on the sliding block when the sliding block verification operation is executed by a real person, and the negative sample is an operation track generated by machine attack behavior.
10. A slider validation apparatus, comprising:
a target perturbation mode determination module for determining a target perturbation mode in response to performing a slider verification operation;
the operation track acquisition module in the disturbance mode is used for acquiring an operation track which executes moving operation on the sliding block to carry out verification in the target disturbance mode; wherein, in the target disturbance mode, the real-time display position of the slider is not synchronized with the real-time operation position of the mobile operation;
the verification module is used for verifying the moving operation according to the operation track and the target disturbance mode;
the operation track acquisition module in the disturbance mode is specifically configured to: sequentially acquiring real-time operation positions adjusted after the user performs visual feedback on the asynchronization until the user finishes the operation of moving the sliding block; and taking a coordinate sequence formed by the real-time operation positions of the moving operation which are sequentially acquired as the operation track of the moving operation.
11. The apparatus of claim 10, wherein the real-time display position of the slider is not synchronized with the real-time operation position of the moving operation, comprising:
the real-time display position of the slide block is ahead or behind the real-time operation position of the moving operation along the preset slide block moving direction; alternatively, the first and second electrodes may be,
the real-time display position of the slider deviates from the real-time operation position of the moving operation along a direction different from the preset slider moving direction.
12. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the slider verification method of any of claims 1 to 9 when executing the computer program.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the slider verification method of any one of claims 1 to 9.
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